Spatiotemporal characteristics and determinants of agricultural carbon offset rate in China based on the geographic detector

Huang, Jie; Sun, Zimin; Du, Minzhe

doi:10.1007/s11356-023-26659-1

Cited by 11 publications

(2 citation statements)

References 47 publications

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“…In this study, the drought level of the study area was divided by reference to the literature [33] (Table 1). Trends in ET, PET, NDVI and DSI time series from 2001 to 2020 were analyzed using trend analysis to study the characteristics of the change trends [34]. At the same time, the Mann-Kendall method was used to test the significance of the change trend, calculated as below [35]:…”

Section: Methodology 231 Dsimentioning

confidence: 99%

Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China

Liu,

Wang,

2023

Forests

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In the context of global warming, timely and accurate drought monitoring is of great importance to ensure regional ecological security and guide agricultural production. This study established the Drought Severity Index (DSI), based on the potential evapotranspiration (PET), evapotranspiration (ET) and normalized difference vegetation index (NDVI) data from 2001 to 2020, to compensate for the low accuracy of drought spatial and temporal evolution due to the uneven distribution of stations. The DSI index was established to reveal the spatial and temporal variation of droughts in Inner Mongolia in the past 20 years, using trend analysis, gravity shift and geographic probes, and to explore the influence of different factors on the DSI. The results were as follows. (1) The results showed that the spatial distribution of DSI in Inner Mongolia during 2001–2020 had strong spatial heterogeneity, and generally showed distribution characteristics of drought in the west and wet in the east. In addition, the changes in DSI all exhibited a rising tendency, with the highest tendency in deciduous broadleaf forests (DBF) and the lowest tendency in grassland (GRA). (2) The center of gravity of wet, normal and arid areas showed a migration trend from northeast to southwest, with migration distances of 209 km, 462 km and 826 km, respectively. (3) The four combinations of temperature and elevation, temperature and slope, temperature and land use, and temperature and rainfall contributed the most. The results obtained in this study are important for the scheduling of ecological early warnings and drought prevention and control.

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Section: Methodology 231 Dsimentioning

confidence: 99%

Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China

Liu,

Wang,

2023

Forests

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“…Song et al delved into the temporal and spatial patterns of carbon compensation potential and network connections in the Yellow River Basin urban agglomeration [22]. Huang et al studied the spatial-temporal characteristics and determining factors of agricultural carbon compensation rates in China using geographic detectors [23]. Additionally, Song et al explored the agricultural functional zoning and carbon effects in county-level urban agglomerations in the Pearl River Delta of China [24].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Evolution of Agricultural Carbon Balance at Township Scale and Carbon Compensation Zoning: A Case Study of Guangshui City, Hubei Province

Yang,

Zhang,

et al. 2024

Land

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Optimizing agricultural carbon compensation zoning is crucial for establishing robust mechanisms in agricultural carbon compensation management, with significant implications for achieving national “dual carbon” strategic objectives. This study employs K-means and the three-dimensional magic cube approach to construct a novel evaluation index system for comprehensive carbon compensation zoning. By combining spatial land-use zoning, we delineate carbon compensation zones in Guangshui City, Hubei Province, and analyze the spatiotemporal variations of agricultural carbon balance, proposing optimization strategies. The results show that (1) from 2000 to 2021, agricultural carbon emissions and absorption exhibit a trend of increasing followed by decreasing, with spatial patterns of “higher in the northwest, lower in the southeast” and “higher in the southwest, lower in the northeast”; (2) the Gini coefficient of agricultural carbon emissions averages at 0.24, with economic contribution coefficients and ecological carrying coefficients ranging from 0.04–16.1 and 0.39–1.99, respectively, from 2000 to 2021; and (3) in 2021, Guangshui City comprises seven payment zones, four balance zones, and six compensation zones, ultimately forming eight optimized agricultural carbon compensation zones in alignment with regional agricultural carbon balance objectives. This study provides theoretical references for enhancing county-level agricultural carbon comprehensive compensation management mechanisms.

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The impact of ecological environment pressure on renewable energy technology innovation: evidence from China’s Yangtze River Economic Belt

Yin,

Zhou,

Zhou

et al. 2024

Environ Dev Sustain

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Spatiotemporal characteristics and determinants of agricultural carbon offset rate in China based on the geographic detector

Cited by 11 publications

References 47 publications

Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China

Remote Sensing Identification and the Spatiotemporal Variation of Drought Characteristics in Inner Mongolia, China

Spatial-Temporal Evolution of Agricultural Carbon Balance at Township Scale and Carbon Compensation Zoning: A Case Study of Guangshui City, Hubei Province

The impact of ecological environment pressure on renewable energy technology innovation: evidence from China’s Yangtze River Economic Belt

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